{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
       "0            6      148             72             35        0  33.6   \n",
       "1            1       85             66             29        0  26.6   \n",
       "2            8      183             64              0        0  23.3   \n",
       "3            1       89             66             23       94  28.1   \n",
       "4            0      137             40             35      168  43.1   \n",
       "\n",
       "   DiabetesPedigreeFunction  Age  Outcome  \n",
       "0                     0.627   50        1  \n",
       "1                     0.351   31        0  \n",
       "2                     0.672   32        1  \n",
       "3                     0.167   21        0  \n",
       "4                     2.288   33        1  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diabetes = pd.read_csv('diabetes.csv')\n",
    "diabetes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      "Pregnancies                 768 non-null int64\n",
      "Glucose                     768 non-null int64\n",
      "BloodPressure               768 non-null int64\n",
      "SkinThickness               768 non-null int64\n",
      "Insulin                     768 non-null int64\n",
      "BMI                         768 non-null float64\n",
      "DiabetesPedigreeFunction    768 non-null float64\n",
      "Age                         768 non-null int64\n",
      "Outcome                     768 non-null int64\n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.1 KB\n"
     ]
    }
   ],
   "source": [
    "diabetes.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Pregnancies     Glucose  BloodPressure  SkinThickness     Insulin  \\\n",
       "count   768.000000  768.000000     768.000000     768.000000  768.000000   \n",
       "mean      3.845052  120.894531      69.105469      20.536458   79.799479   \n",
       "std       3.369578   31.972618      19.355807      15.952218  115.244002   \n",
       "min       0.000000    0.000000       0.000000       0.000000    0.000000   \n",
       "25%       1.000000   99.000000      62.000000       0.000000    0.000000   \n",
       "50%       3.000000  117.000000      72.000000      23.000000   30.500000   \n",
       "75%       6.000000  140.250000      80.000000      32.000000  127.250000   \n",
       "max      17.000000  199.000000     122.000000      99.000000  846.000000   \n",
       "\n",
       "              BMI  DiabetesPedigreeFunction         Age     Outcome  \n",
       "count  768.000000                768.000000  768.000000  768.000000  \n",
       "mean    31.992578                  0.471876   33.240885    0.348958  \n",
       "std      7.884160                  0.331329   11.760232    0.476951  \n",
       "min      0.000000                  0.078000   21.000000    0.000000  \n",
       "25%     27.300000                  0.243750   24.000000    0.000000  \n",
       "50%     32.000000                  0.372500   29.000000    0.000000  \n",
       "75%     36.600000                  0.626250   41.000000    1.000000  \n",
       "max     67.100000                  2.420000   81.000000    1.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diabetes.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pregnancies                 111\n",
      "Glucose                       5\n",
      "BloodPressure                35\n",
      "SkinThickness               227\n",
      "Insulin                     374\n",
      "BMI                          11\n",
      "DiabetesPedigreeFunction      0\n",
      "Age                           0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "NaN_col_names = ['Pregnancies','Glucose','BloodPressure','SkinThickness','Insulin','BMI','DiabetesPedigreeFunction','Age']\n",
    "print((diabetes[NaN_col_names] == 0).sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(diabetes['Outcome'])\n",
    "plt.xlabel('Diabetes')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.countplot(diabetes['Pregnancies'])\n",
    "plt.xlabel('Number of pregnants')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a200d1dd0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 看下怀孕与糖尿病关系\n",
    "sns.countplot(x = 'Pregnancies', hue = 'Outcome', data = diabetes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a200dd210>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x = 'BloodPressure', hue = 'Outcome', data = diabetes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(diabetes.DiabetesPedigreeFunction,kde = False)\n",
    "plt.xlabel('dia')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(diabetes.Glucose,kde = False)\n",
    "plt.xlabel('Glucose')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Outcome',y='Glucose',data = diabetes,hue = 'Outcome')\n",
    "plt.xlabel('Diabetes',fontsize=12)\n",
    "plt.ylabel('Glucose',fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(diabetes.BloodPressure,kde = False)\n",
    "plt.xlabel('blood')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Outcome',y='BloodPressure',data = diabetes,hue = 'Outcome')\n",
    "plt.xlabel('Diabetes',fontsize=12)\n",
    "plt.ylabel('BloodPressure',fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEGCAYAAACKB4k+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAWVElEQVR4nO3dfbRldX3f8fcHkIhgBMLDGgdwwE40WHWgoyBkKYKJgJZBlviAESQ0o11o0Gi70FiNNSYmURONlZYIAq2giCCoVCVThdaUkRkelActhOAwYQoDKiAuscC3f5x9N4fx3jt7nLvPmTn3/VrrrLP37+y9z3ezh/O5++m3U1VIkgSwzbgLkCRtOQwFSVLLUJAktQwFSVLLUJAktbYbdwGbY7fddqtFixaNuwxJ2qqsXr363qrafbrPtupQWLRoEatWrRp3GZK0VUnyw5k+8/CRJKllKEiSWoaCJKllKEiSWoaCJKllKEiSWoaCJKllKEiSWoaCJKm1Vd/RvDnOX7lmzpd5wkH7zPkyJWmU3FOQJLUMBUlSy1CQJLUMBUlSy1CQJLUMBUlSy1CQJLUMBUlSy1CQJLUMBUlSy1CQJLUMBUlSy1CQJLUMBUlSy1CQJLUMBUlSy1CQJLUMBUlSy1CQJLUMBUlSq7dQSLJ3km8muSXJTUlOa9p3TXJFklub912a9iT5RJLbknw3yYF91SZJml6fewqPAO+sqt8CDgZOTbI/cDqwoqoWAyuacYCjgMXNazlwRo+1SZKm0VsoVNW6qrq2GX4QuAVYCCwDzm0mOxc4thleBpxXA1cDOydZ0Fd9kqRfNpJzCkkWAQcAK4E9q2odDIID2KOZbCFw59Bsa5u2DZe1PMmqJKvWr1/fZ9mSNO/0HgpJdgK+CLy9qh6YbdJp2uqXGqrOrKqlVbV09913n6syJUn0HApJnsQgED5bVRc3zXdPHRZq3u9p2tcCew/NvhdwV5/1SZKeqM+rjwKcBdxSVR8b+ugy4KRm+CTg0qH2E5urkA4G7p86zCRJGo3telz2ocAbge8lub5pew/wYeDCJKcAa4Djm88uB44GbgN+BpzcY22SpGn0FgpV9b+Y/jwBwBHTTF/AqX3VI0naOO9oliS1DAVJUstQkCS1DAVJUstQkCS1DAVJUstQkCS1DAVJUstQkCS1DAVJUstQkCS1NhoKSXZMsk0z/JtJjmm6xJYkTZguewpXAU9OspDBM5VPBs7psyhJ0nh0CYVU1c+A44C/rapXAfv3W5YkaRw6hUKSFwFvAL7atPX5HAZJ0ph0CYW3A+8GLqmqm5LsB3yz37IkSeOw0b/4q+pK4MokOzbjtwN/2HdhkqTR63L10YuS3Azc0ow/P8mneq9MkjRyXQ4f/Q3wcuA+gKq6AXhxn0VJksaj081rVXXnBk2P9lCLJGnMulxFdGeSQ4BKsj2D8wm39FuWJGkcuuwpvAU4FVgIrAWWNOOSpAnT5eqjexncoyBJmnBdrj46N8nOQ+O7JDm737IkSePQ5fDR86rqJ1MjVfVj4ID+SpIkjUuXUNgmyS5TI0l2xW4uJGkidflx/yjwD0kuasaPBz7UX0mSpHHpcqL5vCSrgZcCAY6rqpt7r0ySNHJdDwN9H/jx1PRJ9qmqNb1VJUkai42GQpK3Ae8H7mZwJ3OAAp7Xb2mSpFHrsqdwGvCsqrqv72IkSePV5eqjO4H7+y5EkjR+XfYUbge+leSrwMNTjVX1sd6qkiSNRZdQWNO8tm9ekqQJ1eWS1A8AJNmxqh7qvyRJ0rj45DVJUssnr0mSWr09eS3J2UnuSXLjUNufJPnnJNc3r6OHPnt3ktuS/CDJyzuvgSRpznS6JHX4yWtJ3kW3J6+dAxw5TftfV9WS5nU5QJL9gdcBz2nm+VSSbTutgSRpzvT25LWqugr4Ucc6lgGfq6qHq+qfgNuAF3acV5I0R2a9+qj5a/2NVTWXT157a5ITgVXAO5vnMywErh6aZm3TNl1Ny4HlAPvss88cliVJmnVPoaoeZfBX/Fw5A3gmg72NdQy65YZBf0q/9PUz1HRmVS2tqqW77777HJYmSepy89q3k3wS+DzQ3qdQVddu6pdV1d1Tw0n+DvhKM7oW2Hto0r2AuzZ1+ZKkzdMlFA5p3v/jUFsBh2/qlyVZUFXrmtFXAVNXJl0GnJ/kY8DTgcXAdzZ1+ZKkzbOxcwrbAGdU1YWbuuAkFwCHAbslWcug++3DkixhECp3AG8GqKqbklwI3Aw8ApzaHLqSJI3QrKFQVY8leSuwyaFQVa+fpvmsWab/ED7mU5LGqsslqVckeVeSvZPsOvXqvTJJ0sh1Oafw+8378L0JBew39+VIksapSy+p+46iEEnS+HV5RvOJ07VX1XlzX44kaZy6HD56wdDwk4EjgGsBQ0GSJkyXw0dvGx5P8jTgv/ZWkSRpbLrsKWzoZwxuLpM4f+WaOV3eCQfZn5U0Tl3OKXyZx/sh2gbYn1/hvgVJ0pavy57CR4aGHwF+WFVre6pHkjRGXUJhDbCuqn4OkGSHJIuq6o5eK5MkjVyXO5q/ADw2NP5o0yZJmjBdQmG7qvrF1EgzvH1/JUmSxqVLKKxPcszUSJJlwL39lSRJGpcu5xTeAny2edAODB6IM+1dzpKkrVuXm9f+ETg4yU5AqurB/suSJI3DRg8fJfmzJDtX1U+r6sEkuyT501EUJ0karS7nFI6qqp9MjVTVj4Gj+ytJkjQuXUJh2yS/NjWSZAfg12aZXpK0lepyovm/ASuSfIZBdxe/D5zba1WSpLHocqL5L5N8F3hZ0/TBqvp6v2VJksahay+p1wFPYrCncF1/5UiSxqnL1UevAb4DvBp4DbAyyav7LkySNHpd9hT+GHhBVd0DkGR34O+Bi/osTJI0el2uPtpmKhAa93WcT5K0lemyp/C1JF8HLmjGXwtc3l9JkqRx6XL10b9Lchzw20CAM6vqkt4rkySNXKerj6rqYuDinmuRJI2Z5wYkSS1DQZLUmjEUkqxo3v9idOVIksZptnMKC5K8BDgmyecYnGRuVdW1vVYmSRq52ULhfcDpwF7Axzb4rIDD+ypKkjQeM4ZCVV0EXJTkP1TVB0dYkyRpTLrcp/DBJMcAL26avlVVX+m3LEnSOHTpEO/PgdOAm5vXaU2bJGnCdLl57RXAkqp6DCDJuQy6z353n4Vp7p2/cs24S5C0het6n8LOQ8NP6zJDkrOT3JPkxqG2XZNckeTW5n2Xpj1JPpHktiTfTXJg91WQJM2VLqHw58B1Sc5p9hJWA3/WYb5zgCM3aDsdWFFVi4EVzTjAUcDi5rUcOKPD8iVJc2yjoVBVFwAHM+j76GLgRVX1uQ7zXQX8aIPmZTz+fOdzgWOH2s+rgauBnZMs6LYKkqS50rVDvHXAZXPwfXs2y6Kq1iXZo2lfCNw5NN3apm3dHHynJKmjLaXvo0zTVtNOmCxPsirJqvXr1/dcliTNL532FObQ3UkWNHsJC4CpJ7qtBfYemm4v4K7pFlBVZwJnAixdunTa4NDWa66vkDrhoH3mdHnSpJt1TyHJNsNXD82By4CTmuGTgEuH2k9srkI6GLh/6jCTJGl0Zt1TqKrHktyQZJ+q2qQ/4ZJcABwG7JZkLfB+4MPAhUlOAdYAxzeTXw4cDdwG/Aw4eZPWQpI0J7ocPloA3JTkO8BDU41VdcxsM1XV62f46Ihppi3g1A61SJJ61CUUPtB7FZKkLUKXDvGuTPIMYHFV/X2SpwDb9l+aJGnUunSI9wfARcB/aZoWAl/qsyhJ0nh0uU/hVOBQ4AGAqroV2GPWOSRJW6UuofBwVf1iaiTJdsxwY5kkaevWJRSuTPIeYIckvwN8Afhyv2VJksahSyicDqwHvge8mcE9Be/tsyhJ0nh0ufrosabL7JUMDhv9oLmvQJI0YTYaCkleAfxn4B8ZdFy3b5I3V9V/77s4SdJodbl57aPAS6vqNoAkzwS+ChgKkjRhupxTuGcqEBq383jvppKkCTLjnkKS45rBm5JcDlzI4JzC8cA1I6hNkjRisx0++tdDw3cDL2mG1wO79FaRJGlsZgyFqrL7akmaZ7pcfbQv8DZg0fD0G+s6W5K09ely9dGXgLMY3MX8WL/laNhcP5pSkjamSyj8vKo+0XslkqSx6xIKH0/yfuAbwMNTjVV1bW9VSZLGoksoPBd4I3A4jx8+qmZckjRBuoTCq4D9hrvPliRNpi53NN8A7Nx3IZKk8euyp7An8P0k1/DEcwpekipJE6ZLKLy/9yokSVuELs9TuHIUhUiSxq/LHc0P8vgzmbcHngQ8VFW/3mdhkqTR67Kn8NTh8STHAi/srSJpDs31XeEnHLTPnC5P2tJ0ufroCarqS3iPgiRNpC6Hj44bGt0GWMrjh5MkSROky9VHw89VeAS4A1jWSzWSpLHqck7B5ypI0jwx2+M43zfLfFVVH+yhHknSGM22p/DQNG07AqcAvwEYCpI0YWZ7HOdHp4aTPBU4DTgZ+Bzw0ZnmkyRtvWY9p5BkV+CPgDcA5wIHVtWPR1GYJGn0Zjun8FfAccCZwHOr6qcjq0qSNBaz3bz2TuDpwHuBu5I80LweTPLAaMqTJI3SbOcUNvluZ0nS1q3LzWtzLskdwIPAo8AjVbW0OX/xeWARgxvkXuP5C0karXHuDby0qpZU1dJm/HRgRVUtBlY045KkEdqSDhEtY3CFE837sWOsRZLmpXGFQgHfSLI6yfKmbc+qWgfQvO8x3YxJlidZlWTV+vXrR1SuJM0PYzmnABxaVXcl2QO4Isn3u85YVWcyuEyWpUuX2lurJM2hsewpVNVdzfs9wCUMHtpzd5IFAM37PeOoTZLms5GHQpIdm24zSLIj8LvAjcBlwEnNZCcBl466Nkma78Zx+GhP4JIkU99/flV9Lck1wIVJTgHWAMePoTZJmtdGHgpVdTvw/Gna7wOOGHU9kqTHbUmXpEqSxsxQkCS1DAVJUstQkCS1DAVJUstQkCS1DAVJUstQkCS1DAVJUstQkCS1xtV19kQ6f+WacZcgSZvFPQVJUstQkCS1DAVJUstQkCS1DAVJUstQkCS1DAVJUstQkCS1DAVJUstQkCS1DAVJUstQkCS1DAVJUsteUqVN0EdPuCcctM+cL1P6VbmnIElqGQqSpJahIElqGQqSpJahIElqGQqSpJahIElqGQqSpJahIElqGQqSpJahIElqGQqSpNYW1yFekiOBjwPbAp+uqg+PuSSpV3PdyZ4d7GlzbFGhkGRb4D8BvwOsBa5JcllV3TzeyqSthyGjzbFFhQLwQuC2qrodIMnngGWAoSBpq7U1dbm+pYXCQuDOofG1wEHDEyRZDixvRn+a5Ae/4nftBtz7K867NZuP6z0f1xnmaL3fMAeFjNC82dYbbJdNXe9nzPTBlhYKmaatnjBSdSZw5mZ/UbKqqpZu7nK2NvNxvefjOsP8XO/5uM4wt+u9pV19tBbYe2h8L+CuMdUiSfPOlhYK1wCLk+ybZHvgdcBlY65JkuaNLerwUVU9kuStwNcZXJJ6dlXd1NPXbfYhqK3UfFzv+bjOMD/Xez6uM8zheqeqNj6VJGle2NIOH0mSxshQkCS15mUoJDkyyQ+S3Jbk9HHX04ckeyf5ZpJbktyU5LSmfdckVyS5tXnfZdy19iHJtkmuS/KVZnzfJCub9f58cyHDxEiyc5KLkny/2eYvmg/bOsk7mn/fNya5IMmTJ3FbJzk7yT1Jbhxqm3b7ZuATze/bd5McuCnfNe9CYagrjaOA/YHXJ9l/vFX14hHgnVX1W8DBwKnNep4OrKiqxcCKZnwSnQbcMjT+F8BfN+v9Y+CUsVTVn48DX6uqZwPPZ7DuE72tkywE/hBYWlX/ksHFKa9jMrf1OcCRG7TNtH2PAhY3r+XAGZvyRfMuFBjqSqOqfgFMdaUxUapqXVVd2ww/yOBHYiGDdT23mexc4NjxVNifJHsBrwA+3YwHOBy4qJlkotY7ya8DLwbOAqiqX1TVT5gH25rBFZQ7JNkOeAqwjgnc1lV1FfCjDZpn2r7LgPNq4Gpg5yQLun7XfAyF6brSWDimWkYiySLgAGAlsGdVrYNBcAB7jK+y3vwN8O+Bx5rx3wB+UlWPNOOTts33A9YDn2kOmX06yY5M+Lauqn8GPgKsYRAG9wOrmextPWym7btZv3HzMRQ22pXGJEmyE/BF4O1V9cC46+lbklcC91TV6uHmaSadpG2+HXAgcEZVHQA8xIQdKppOcwx9GbAv8HRgRwaHTjY0Sdu6i8369z4fQ2HedKWR5EkMAuGzVXVx03z31K5k837PuOrryaHAMUnuYHBo8HAGew47N4cYYPK2+VpgbVWtbMYvYhASk76tXwb8U1Wtr6r/B1wMHMJkb+thM23fzfqNm4+hMC+60miOo58F3FJVHxv66DLgpGb4JODSUdfWp6p6d1XtVVWLGGzb/1FVbwC+Cby6mWyi1ruq/i9wZ5JnNU1HMOhufqK3NYPDRgcneUrz731qvSd2W29gpu17GXBicxXSwcD9U4eZupiXdzQnOZrBX49TXWl8aMwlzbkkvw38T+B7PH5s/T0MzitcCOzD4H+q46tqwxNYEyHJYcC7quqVSfZjsOewK3Ad8HtV9fA465tLSZYwOLG+PXA7cDKDP/omelsn+QDwWgZX210H/BsGx88nalsnuQA4jEEX2XcD7we+xDTbtwnITzK4WulnwMlVtarzd83HUJAkTW8+Hj6SJM3AUJAktQwFSVLLUJAktQwFSVLLUNDESfLHTc+Z301yfZKDktyRZLdppv2HjSzrkmYZtyW5vxm+PskhsyzzmNl6302yaLi3S2lLskU9jlPaXEleBLwSOLCqHm5+tGfsOrmqDplteVX1qma5h9Hc8zD0XTPNcxkTeEOk5gf3FDRpFgD3Tt2sVFX3VlV7i3+SHZJ8LckfNOM/bd4PS/KtoWcSfDYz/eo/0duSXJvke0me3SzrTUk+2Qzv2ext3NC8nhBCSfZrOrF7QTPfxU19tyb5y6HpfjfJ/26+6wtNn1Yk+XCSm5u9oo80bcdn8HyBG5JctTn/MTX/GAqaNN8A9k7yf5J8KslLhj7bCfgycH5V/d008x4AvJ3Bczb2Y9CP0sbcW1UHMuiz/l3TfP4J4Mqqej6D/ohumvqg6ZbiiwzuOL2maV7C4A7d5wKvzeBhSbsB7wVe1nzXKuCPkuwKvAp4TlU9D/jTZhnvA17efOcxHdZBahkKmihV9VPgXzF4uMh64PNJ3tR8fCnwmao6b4bZv1NVa6vqMeB6YFGHr5zqaHD1DNMfTvOQk6p6tKrub9p3b+r5vaq6fmj6FVV1f1X9nEE/Ps9g8JCk/YFvJ7meQT83zwAeAH4OfDrJcQy6NAD4NnBOsze0bYd1kFqeU9DEqapHgW8B30ryPR7vNOzbwFFJzq/p+3cZ7h/nUbr9/zE1T9fpp9zPoM/7Qxnae5ihhgBXVNXrN1xIkhcy6AjudcBbgcOr6i1JDmLwoKHrkyypqvs2oTbNY+4paKIkeVaSxUNNS4AfNsPvA+4DPjXCklYA/7apbdsMnpIG8AsGT8o6MckJG1nG1cChSf5Fs5ynJPnN5rzC06rqcgaHvZY0nz+zqlZW1fuAe3liN8rSrAwFTZqdgHOnTr4yOOzyJ0Ofvx148vBJ3J6dBry02WNZDTxn6oOqeojBlVLvSDLjI2Graj3wJuCCZp2uBp4NPBX4StN2JfCOZpa/ak583whcBdww52uliWUvqZKklnsKkqSWoSBJahkKkqSWoSBJahkKkqSWoSBJahkKkqTW/weyKlInPqUGsgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(diabetes.SkinThickness,kde = False)\n",
    "plt.xlabel('SkinThickness')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a20a75410>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# BMI 取不同值给其计数\n",
    "BMIDF = diabetes.groupby(['BMI','Outcome'])['BMI'].count().unstack('Outcome').fillna(0)\n",
    "BMIDF[[0,1]].plot(kind='bar',stacked = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10c817e10>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_corr = diabetes.corr().abs()\n",
    "plt.subplots(figsize=(13,9))\n",
    "sns.heatmap(data_corr,annot = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for feature in diabetes.columns:\n",
    "    sns.distplot(diabetes[feature],kde = False)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
